Digital security company DigiCert Inc. today introduced a new AI Trust framework to help organizations secure AI systems and their outputs, along with new capabilities to help secure autonomous agents and artificial intelligence models.
As AI is accelerating innovation at an unprecedented pace, it is also, according to DigiCert, “breaking traditional models of trust.” The company argues that as autonomous agents act across enterprise systems at machine speed, AI models are introducing new supply chain and intellectual property risks and digital content can no longer be trusted at face value.
“AI has created a new trust challenge,” said Chief Executive Amit Sinha. “Organizations are relying on agents, models and content they can’t always verify.”
To address the challenge, DigiCert is introducing a unified trust layer that spans AI agents, models and content that embeds cryptographic verification across the AI lifecycle. With the release, organizations can enforce identity-based governance for autonomous systems, validate model integrity and establish content provenance all within a single, cohesive framework.
The approach sees the introduction of AI Agent Trust, a feature that provides discovery, identity, governance and lifecycle management for AI agents.
AI Agent Trust allows organizations to authenticate, authorize and audit autonomous systems and,govern AI agents to ensure that every action is attributable, controlled and aligned with security and compliance requirements.
The second feature, AI Model Trust, offers cryptographic protection and verification for AI models, including secure packaging, signing and runtime validation.
The third release, Content Trust, allows organizations to cryptographically sign and verify digital content with tamper-evident provenance and transparency using the C2PA standard. Using Content Trust, organizations can prove where content originated, how it was created and whether it has been altered to help combat misinformation, brand impersonation and AI-generated fraud.
Together, DigiCert says that the innovations replace fragmented, manual approaches with an automated trust architecture that delivers verifiable identity, tamper-evident integrity and continuous validation across AI systems.
The unified AI Trust foundation helps organizations reduce reputational and regulatory risk while accelerating responsible AI adoption. They also gain the ability to verify content provenance, ensure model integrity and govern AI agents with accountability, transforming security and compliance from reactive processes into measurable, audit-ready capabilities.
“At DigiCert, our purpose is to give people confidence in the security, privacy and authenticity of their digital interactions,” added Sinha. “With our AI Trust solutioning, we help organizations confirm what’s real, secure and approved so AI can be used with certainty.”
Image: DigiCert
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